Your browser cookies must be enabled in order to apply for this job. Please contact if you need further instruction on how to do that.

NLP Engineer

Engineering | Bengaluru, Karnataka, India | Full Time

Job Description

Dialpad is the cloud based phone system that powers voice, video, and messages all from a single platform. With a beautifully intuitive interface that works on your existing devices, your phone system is finally as adaptable as your team. Now Dialpad has VoiceAI, a unique feature that brings the power of speech recognition and NLP to extract actionable insights from calls. 

Who we are: 

At Dialpad, we're a team of do-ers. A team that thinks outside the box and when that doesn't work, we reinvent it. We don't settle for the status quo and neither do the things we build. Led by the same minds behind Google Voice, we build products that get businesses talking—whether it's across the hall, street, or country.

With $120 million in funding from ICONIQ Capital, Google Ventures, Andreessen Horowitz, Scale Ventures and other top VC’s Dialpad attracts top engineers from companies like Microsoft and Google, and every member of our team plays an essential role in creating dynamic products that doesn’t just combine design and mobility but works with you wherever productivity may strike.

The role:

As an ML Engineer at Dialpad, you’ll be solving ML problems using the latest techniques in deep learning. This includes classic ML, NLP and possibly computer vision in 2019. Current or planned projects include entity-level sentiment, NER, building phrase semantic embeddings for NLP, interlingual embeddings, multimodal emotion recognition, gestural recognition, automating punctuation for speech recognition output, powering semantic search, and abstractive summarization. 

You will have access to proprietary data and tech stacks and you’ll be able to obtain more training data. You will be supported by data engineers and a data curation team so you can focus on model development. There will be many opportunities for collaboration with other ML engineers and more junior data scientists will look to you for advice.


  • Strong understanding of the theory and practice of machine learning 
  • Can explain the fundamentals of training neural networks 

  • Excellent problem-solving skills

  • Strong communicator

  • Clean python (thoughtful, concise & easily readable code)

  • You have solved hard problems. 

  • Enjoys a highly collaborative environment

  • Ability to thrive in a fast-moving, evolving work environment

  • Ability and desire to mentor junior scientists


  • Experience with NLP and any techniques from our current or planned projects

  • Advanced degree in Language Processing, Computer Science, Electrical Engineering,  Mathematics with specialization in natural language processing, machine learning or deep learning, or similar.

Solid experience using state of the art deep learning methods, for example building neural networks including DNNs, RNNs, bLSTMs, GRUs and/or a publication record in the area.

  • 2+ years industry experience

  • Advanced knowledge of linguistics for English and other languages

About Us

Joining our team means collaborating with people that aren’t just passionate about their work but about Argentine tango, musicals, sushi burritos, comic books - you name it. Because if you’re going to redefine the status quo, you need a group of people hungry to do more, to see more, and be more than where they started.

There is no idea too crazy and no task too small — we work together to make things we’re proud of.

Compensation & Equity 

Teamwork makes the dream work. We recognize that our dedicated team members are what make our success. That’s why we offer competitive salaries in addition to stock options.


An apple a day keeps the doctor away - and it doesn’t hurt that we offer 100% paid Medical, Dental and Vision Plan employee coverage.


We offer a monthly stipend to help cover your cell phone, home internet, and even gym membership costs.

Location, Location, Location

San Francisco <> San Ramon <> Austin <> Raleigh <> Vancouver <> Kitchener <> Tokyo <> San Jose <> New York <> Bengaluru <>. From coast to coast, our offices are nestled in active and growing downtown areas.